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1f9fc8c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 | """Core Identity Environment - server-side implementation."""
import random
from typing import Any, Dict, Optional
from dataclasses import dataclass, field
from uuid import uuid4
try:
from openenv.core.env_server.interfaces import Environment
from openenv.core.env_server.types import Action, Observation, State
except ImportError:
from openenv.core.env_server.interfaces import Environment
from openenv.core.env_server.types import Action, Observation, State
from core_identity_env.models import (
CoreIdentityObservation,
CoreIdentityAction,
VerificationResult,
TaskType,
IdentityDocument,
UserCredentials,
UserProfile,
)
from core_identity_env.tasks.definitions import (
get_all_tasks,
get_task_by_id,
CoreIdentityTask,
CoreIdentityTaskEvaluator,
GradingResult,
)
@dataclass
class _EpisodeState:
task: CoreIdentityTask
episode_id: str
current_step: int = 0
cumulative_reward: float = 0.0
submitted_verification: Dict[str, Any] = field(default_factory=dict)
episode_complete: bool = False
DIFFICULTY_WEIGHTS = {
"easy": 0.15,
"medium": 0.12,
"hard": 0.08,
}
class CoreIdentityEnvironment(Environment):
"""Server-side Core Identity Environment compliant with OpenEnv spec."""
def __init__(
self,
task_id: Optional[str] = None,
seed: Optional[int] = None,
max_steps: int = 10,
):
self._task_id = task_id
self._seed = seed
self._max_steps = max_steps
self._ep: Optional[_EpisodeState] = None
self._state = State(episode_id=str(uuid4()), step_count=0)
if seed is not None:
random.seed(seed)
def reset(
self,
seed: Optional[int] = None,
episode_id: Optional[str] = None,
task_id: Optional[str] = None,
**kwargs: Any,
) -> Observation:
if seed is not None:
random.seed(seed)
target_task_id = task_id or self._task_id
if target_task_id:
task = get_task_by_id(target_task_id)
else:
task = random.choice(get_all_tasks())
eid = episode_id or str(uuid4())
document = None
credentials = None
profile = None
if task.document:
document = IdentityDocument(**task.document)
if task.credentials:
credentials = UserCredentials(**task.credentials)
if task.profile:
profile = UserProfile(**task.profile)
self._ep = _EpisodeState(
task=task,
episode_id=eid,
current_step=0,
cumulative_reward=0.0,
submitted_verification={},
episode_complete=False,
)
self._state = State(episode_id=eid, step_count=0)
obs = self._build_observation(document, credentials, profile)
return Observation(
done=False,
reward=0.0,
metadata=obs.model_dump(),
)
def step(
self,
action: Action,
timeout_s: Optional[float] = None,
**kwargs: Any,
) -> Observation:
if self._ep is None:
return Observation(
done=True,
reward=0.0,
metadata={"error": "Environment not reset. Call reset() first."},
)
if self._ep.episode_complete:
return Observation(
done=True,
reward=0.0,
metadata={"error": "Episode already finished."},
)
action_data: Dict[str, Any] = {}
if hasattr(action, "data") and isinstance(action.data, dict):
action_data = action.data
elif isinstance(action, dict):
action_data = action
elif hasattr(action, "__dict__"):
action_data = vars(action)
try:
env_action = CoreIdentityAction.model_validate(action_data)
except Exception:
env_action = CoreIdentityAction(verification=VerificationResult())
self._ep.current_step += 1
self._state.step_count = self._ep.current_step
verification_dict = env_action.verification.model_dump()
self._ep.submitted_verification = verification_dict
evaluator = CoreIdentityTaskEvaluator(self._ep.task)
result = evaluator.grade(verification_dict)
reward_value = result.score * DIFFICULTY_WEIGHTS.get(self._ep.task.difficulty, 0.1)
terminal = env_action.submit or self._ep.current_step >= self._ep.task.max_steps
if terminal:
final_score = result.score
if self._ep.current_step <= self._ep.task.max_steps * 0.5:
final_score += 0.1
reward_value = min(1.0, final_score)
self._ep.episode_complete = True
self._ep.cumulative_reward += reward_value
document = None
credentials = None
profile = None
if self._ep.task.document:
document = IdentityDocument(**self._ep.task.document)
if self._ep.task.credentials:
credentials = UserCredentials(**self._ep.task.credentials)
if self._ep.task.profile:
profile = UserProfile(**self._ep.task.profile)
obs = self._build_observation(document, credentials, profile)
step_result = {
"observation": obs.model_dump(),
"reward": {
"value": reward_value,
"accuracy": result.accuracy,
"completeness": result.completeness,
"total": result.score,
"feedback": result.feedback,
},
"done": self._ep.episode_complete,
"info": {
"step": self._ep.current_step,
"is_final": self._ep.episode_complete,
},
}
return Observation(
done=self._ep.episode_complete,
reward=reward_value,
metadata=step_result,
)
@property
def state(self) -> State:
return self._state
def _build_observation(
self,
document: Optional[IdentityDocument],
credentials: Optional[UserCredentials],
profile: Optional[UserProfile],
) -> CoreIdentityObservation:
ep = self._ep
return CoreIdentityObservation(
task_id=ep.task.task_id,
task_type=TaskType(ep.task.task_type),
task_name=ep.task.name,
task_description=ep.task.description,
difficulty=ep.task.difficulty,
document=document,
credentials=credentials,
profile=profile,
expected_verification=ep.task.expected_verification,
challenge_data=ep.task.challenge_data,
max_steps=ep.task.max_steps,
)
def get_task_list(self) -> Dict[str, Any]:
return [
{
"task_id": t.task_id,
"name": t.name,
"task_type": t.task_type,
"difficulty": t.difficulty,
"description": t.description,
}
for t in get_all_tasks()
] |